house llama
Budget: $5,000 – $10,000 AUD
Title: Experienced Web Developer Needed for Property Ranking Tool with AVM Feature
We are seeking an experienced web developer to build a tool that allows users to easily compare and rank properties based on key data points, including automated valuation models (AVMs). The tool will consist of a web app (website) that is functional and quick on both mobile and desktop, as well as a data scraper that can retrieve information from property websites.
As the developer, you should have strong skills in web development, including HTML, CSS, and JavaScript, as well as experience in building data scrapers and working with APIs. You should also have a strong understanding of user experience (UX) design and be able to create visually appealing and intuitive interfaces. In addition, you should have knowledge of AVMs and how they work, including the various data sources that may be used to estimate the value of a property.
Your responsibilities will include building the web app and data scraper, as well as integrating them to retrieve and process the data from the following websites:
realestate.com.au (Australia)
zillow.com (USA)
rightmove.co.uk (UK)
The web app should be able to retrieve the data from the data scraper and visually rank the properties from best to worst based on the key data points, including AVM estimates. The design of the web app should be simple and clean, similar to the inspiration provided (https://www.wized.com).
In terms of the technical implementation, it may be more efficient to use APIs to retrieve the data from the property websites, if possible. However, if the cost of using APIs is prohibitive, a data scraper may be a viable alternative. As the developer, it will be important to consider the pros and cons of each approach and make a recommendation based on the project requirements and budget.
If you are interested in this opportunity and believe you have the necessary skills and experience, please apply with a brief cover letter outlining your thoughts on how to approach this project and how to make it better. We look forward to hearing from you.
Here is a revised step-by-step user flow journey for the property ranking tool that includes a free version and a paid version, and specifies the use of data scraping or APIs to retrieve data:
Free version:
User visits the web app (website) and creates an account.
User selects the region (Australia, USA, or UK) and enters their search criteria (e.g. location, price range, number of bedrooms).
The web app retrieves the data from the data scraper, which retrieves the information from the relevant property websites (realestate.com.au, zillow.com, or rightmove.co.uk) using either data scraping techniques or APIs (if available and cost-effective).
The web app displays a list of properties that match the user's search criteria, ranked from best to worst based on the key data points.
User can review the list of properties and click on individual listings to view more detailed information, including photos, descriptions, and key features.
Paid version:
User can access advanced features, such as saved searches and personalized recommendations, by upgrading to the paid version.
User can save properties to their "favorites" list and receive notifications when new properties matching their criteria become available.
User can make a purchase enquiry or request more information on a specific property directly through the web app.
thank you chris
We are seeking an experienced web developer to build a tool that allows users to easily compare and rank properties based on key data points, including automated valuation models (AVMs). The tool will consist of a web app (website) that is functional and quick on both mobile and desktop, as well as a data scraper that can retrieve information from property websites.
As the developer, you should have strong skills in web development, including HTML, CSS, and JavaScript, as well as experience in building data scrapers and working with APIs. You should also have a strong understanding of user experience (UX) design and be able to create visually appealing and intuitive interfaces. In addition, you should have knowledge of AVMs and how they work, including the various data sources that may be used to estimate the value of a property.
Your responsibilities will include building the web app and data scraper, as well as integrating them to retrieve and process the data from the following websites:
realestate.com.au (Australia)
zillow.com (USA)
rightmove.co.uk (UK)
The web app should be able to retrieve the data from the data scraper and visually rank the properties from best to worst based on the key data points, including AVM estimates. The design of the web app should be simple and clean, similar to the inspiration provided (https://www.wized.com).
In terms of the technical implementation, it may be more efficient to use APIs to retrieve the data from the property websites, if possible. However, if the cost of using APIs is prohibitive, a data scraper may be a viable alternative. As the developer, it will be important to consider the pros and cons of each approach and make a recommendation based on the project requirements and budget.
If you are interested in this opportunity and believe you have the necessary skills and experience, please apply with a brief cover letter outlining your thoughts on how to approach this project and how to make it better. We look forward to hearing from you.
Here is a revised step-by-step user flow journey for the property ranking tool that includes a free version and a paid version, and specifies the use of data scraping or APIs to retrieve data:
Free version:
User visits the web app (website) and creates an account.
User selects the region (Australia, USA, or UK) and enters their search criteria (e.g. location, price range, number of bedrooms).
The web app retrieves the data from the data scraper, which retrieves the information from the relevant property websites (realestate.com.au, zillow.com, or rightmove.co.uk) using either data scraping techniques or APIs (if available and cost-effective).
The web app displays a list of properties that match the user's search criteria, ranked from best to worst based on the key data points.
User can review the list of properties and click on individual listings to view more detailed information, including photos, descriptions, and key features.
Paid version:
User can access advanced features, such as saved searches and personalized recommendations, by upgrading to the paid version.
User can save properties to their "favorites" list and receive notifications when new properties matching their criteria become available.
User can make a purchase enquiry or request more information on a specific property directly through the web app.
thank you chris